Datetime Parsing With Pandas -Code Examples - Analytics India Magazine

Datetime Parsing With Pandas -Code Examples - Analytics India Magazine

Pandas is famous for its datetime parsing, processing, analysis & plotting functions. It is vital to inform Python about date & time entries.

Time-series analysis and forecasting is one of the most widely applied machine learning problems. It finds applications in weather forecasting, earthquake prediction, space science, e-commerce, stock market prediction, medical sciences, and signal processing. While dealing with a time-series dataset, the data may contain the date, month, day, and time in any format. This is because people tend to use different date and time formats. Moreover, Python assumes a non-numbered entry as an object and a numbered entry as an integer or float. Hence, it is important to inform Python about the date and time entries.

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